Machine Learning Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Key Role:

Apply technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, providing a competitive advantage or addressing a pressing business problem. Exhibit expertise in computer science, software development, and the latest technologies to design and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. Leverage knowledge of mathematical and statistical concepts, computer science, or a domain to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements. Develop predictive models of system performance and guide decision makers towards optimal design. Apply broad domain expertise to comprehend data origins and context to ensure data consistency, merge data sources together, and help others to gain a better comprehension of data. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.

Basic Qualifications:

• Experience with Python, R, Octane, or MATLAB
• Knowledge of Natural Language Processing
• Knowledge of machine learning concepts and graphics processing unit capabilities
• Knowledge of relevant statistical measures, including confidence intervals and significance of error measurements and developing and evaluating data sets
• Ability to obtain a security clearance
• Master's degree in Computer Science, Data Science, Cognitive Science, Operations Research, Applied Math, Engineering, Bioinformatics, or Neuroscience

Additional Qualifications:

• Experience with designing and developing software applications
• Experience with developing statistical and simulation models
• Experience in natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP
• Experience with developing experimental and analytic plans for data modeling processes and using excellent baselines
• Ability to accurately determine cause and effect relationships

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

The proposed salary range for this position in Colorado is 110,000 to 120,000. Final salary will be determined based on various factors.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.